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Nominal (Gender) aka Factor/ Genotype  [MAIN EFFECT]\n   \n   levels - WT, Mutant\n   \n2. Ordinal (size )\n\n_Numerical (Quantitative) Float/ Integer_\n\n1. Continuous (Decimal) aka Age\n\n2. Discrete (Whole)\n\n\n# Choose a test based on below parameters\n\n1. Aim\n2. Parameter\n3. No.of Groups\n4. Study Design\n5. Distribution\n6. Type of Analysis\n\n\n# Machine Learning\n\n1. Supervised Learning (labeled training data)- Class or Label (Classification)\n\n2. Unsupervised Learning (hidden structure from \"unlabeled\" data)- Numeric or Continuous (Clustering / Regression)\n\n## Prediction\n\nThe output generated by a machine learning models for a particuolar problem \n\nThere are majorly two kinds of predictions corresponding to two types of problem:\n\n1. Classification (the prediction is mostly a class or label, to which a data points belong)\n\n2. 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